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. Author manuscript; available in PMC: 2014 Jan 1.
Published in final edited form as: J Clin Child Adolesc Psychol. 2012 Oct 24;42(1):131–138. doi: 10.1080/15374416.2012.734021

Associations between dispositions to rash action and internalizing and externalizing symptoms in children

Naomi R Marmorstein 1
PMCID: PMC3534929  NIHMSID: NIHMS412281  PMID: 23095038

Abstract

Objective

Impulsivity is not a unitary construct; instead, dispositions to rash action can be divided into five moderately-correlated dimensions. However, the associations between these dimensions and symptoms of psychopathology among youth remain unclear. The goal of this study was to examine associations between different dispositions to rash action and psychopathology in a community sample of middle-school youth.

Methods

144 youth (mean age=11.9; 65% Hispanic, 30% African-American; 50% male; 81% qualifying for free school lunches) participated in this study. Self-reported questionnaire measures of dispositions to rash action (lack of planning, lack of perseverance, sensation-seeking, negative urgency, and positive urgency) and psychopathology symptoms (conduct disorder (CD), alcohol use, depression, overall anxiety, panic, generalized anxiety, social anxiety, and separation anxiety, as well as teacher reports of ADHD inattentive and hyperactive symptoms) were used.

Results

Negative and positive urgency were positively associated with all symptom subtypes examined except certain anxiety subtypes (and positive urgency was not associated with ADHD symptoms). Lack of planning was positively associated with externalizing and depressive symptoms. Lack of perseverance was positively associated with CD. Sensation-seeking was positively associated with both CD and alcohol use. When other dispositions were adjusted for, negative urgency remained a positive predictor of CD, while positive urgency remained a positive predictor of depressive and panic symptoms. Sensation-seeking was negatively associated with separation anxiety.

Conclusions

Psychopathology symptoms are differentially related to dispositions to rash action in children; emotion-based dispositions to rash action may be particularly important targets for future research.

Keywords: Impulsivity, urgency, sensation-seeking, internalizing, externalizing


Evidence supports the notion that impulsivity (including the related constructs of disinhibition and sensation-seeking) is not a unitary construct (e.g., Zuckerman, 1979; Eysenck & Eysenck, 1985; Cloninger, Przybeck, & Svrakic, 1991; Depue & Collins, 1999), and substantial research aimed at understanding when and how these constructs relate to symptoms of psychopathology has been conducted. The purpose of this study was to utilize a relatively new approach to the conceptualization and measurement of impulsivity to examine how different dimensions of self-reported dispositions to rash action were associated with internalizing and externalizing symptoms, as well as alcohol use, among middle school youth.

Impulsivity research as defined by self-report ratings grew out of research on the structure of personality (see Patton & Stanford, 2011 for a comprehensive history). Although researchers generally agree that impulsivity has sub-dimensions, these differ by model. For example, Eysenck found four subfactors: impulsivity narrow, risk-taking, non-planning, and liveliness (Eysenck & Eysenck, 1985). Although Barratt’s model evolved over time, late in his career he focused on three subfactors: attentional impulsiveness, motor impulsiveness, and nonplanning impulsiveness (Patton et al., 1995). Zuckerman pioneered the study of sensation seeking, and his widely-used sensation-seeking scale has four factors: disinhibition, thrill and adventure-seeking, boredom susceptibility, and experience-seeking (Zuckerman, 1979, 1993). Surgency, a concept closely related to sensation-seeking, contains four main components: impulsivity, high-intensity pleasure, activity level, and lack of shyness (Putnam, Ellis, & Rothbart, 2001). Regardless of the model examined, evidence supports the notion that these traits are genetically and biologically influenced (e.g., Zuckerman, 2003); among other correlates, they are related to the dopamine system (e.g., Campbell et al., 2010; Sheese, Voelker, Rothbart, & Posner, 2007) and the autonomic nervous system (e.g., Beauchaine, Gatzke-Kopp, & Mead, 2007). Theoretical and empirical research has explored the links between dimensions of temperament and symptoms of psychopathology in children, and this work highlights the fact that multiple temperament pathways can lead to the same disorder (e.g., Nigg, 2006).

Recently, Whiteside and Lynam (2001) developed a model of impulsivity based on the five-factor model of personality (McCrae & Costa, 1990). This model specified four primary dimensions of impulsivity, or dispositions to rash action. One was sensation seeking, or a tendency to seek novel and exciting stimulation. A second factor was lack of planning, or a tendency to act without thinking in advance, while a third was lack of perseverance, or a tendency to have difficulty tolerating boredom or remaining focused when distracted. Fourth, a mood-based factor was found: negative urgency, or a tendency to act rashly when experiencing distress or a negative mood). More recently, a fifth dimension, positive urgency—i.e., a tendency to act rashly when experiencing a positive mood—has been added to this model (Cyders & Smith, 2008). This model’s inclusion of emotion-based dispositions to rash action (negative and positive urgency) represents a particularly novel feature; these factors may provide a new angle on questions regarding impulsivity-psychopathology associations.

Research to date using this model of impulsivity has indicated that these dimensions are related to symptoms of psychopathology in both children and adults. Lack of planning is associated with attentional problems (Zapolski, Stairs, Settles, Combs, & Smith, 2010; Miller, Flory, Lynam, & Leukefeld, 2003), alcohol use and related problems (Magid & Colder, 2007; Miller et al., 2003; Verdejo-Garcia, Bechara, Recknor, & Perez-Garcia, 2007), and depressive and generalized anxiety symptoms (Miller et al., 2003). Negative urgency is related to early drinking and other substance use outcomes (Anestis, Selby, & Joiner, 2007; Fischer, Anderson, & Smith; 2004; Fischer & Smith, 2008; Gunn & Smith, 2010; Magid & Colder, 2007; Settles, Cyders, & Smith, 2010; Settles et al., in press; Verdejo-Garcia et al., 2007), conduct problems, hyperactive/impulsive symptoms of ADHD, depressive symptoms, and generalized anxiety symptoms (Miller et al., 2003). Sensation-seeking is associated with early drinking and other alcohol use outcomes (Fischer & Smith, 2008; Gunn & Smith, 2010; Magid, MacLean, & Colder, 2007; Magid & Colder, 2007; Miller et al., 2003), conduct problems, and ADHD symptoms (Miller et al., 2003). Lack of perseverance is associated with attentional problems (Zapolski et al., 2010), alcohol and other substance problems (Magid & Colder, 2007; Verdejo-Garcia, 2007), conduct problems, substance use, inattentive symptoms of ADHD, depressive symptoms, and generalized anxiety symptoms (Miller et al., 2003). Positive urgency is associated with early drinking (Gunn & Smith, 2010) and other substance use outcomes (Cyders, Flory, Rainer, & Smith, 2009; Settles et al., 2010).

The present study builds on previous work in several ways. First, we sought to examine the associations between these different dimensions of impulsivity and internalizing and externalizing symptoms using DSM-based symptom categories. Second, we sought to examine the associations between these dispositions to rash action and internalizing symptoms in a more fine-grained way, separating depressive symptoms from anxiety symptoms and considering different types of anxiety symptoms separately. Third, we studied children specifically. This is especially important because these dispositions may influence symptoms and behaviors that in turn influence the ongoing development of these children. Finally, we sought to examine the internal consistency reliability of the UPPS-R-Child version, and the intercorrelations among the subscales, in a sample with different demographic characteristics as the sample in Zapolski et al. (2010) (the only other study we are aware of to use the UPPS-R-Child version).

Based on theoretical reasons and previous research with both children and adults, we formed the following hypotheses. Lack of planning was expected to be positively associated with ADHD symptoms, alcohol use, and depressive symptoms (based on the literature review above), as well as CD symptoms (based on theory and the comorbidity between ADHD and alcohol use and CD). Negative urgency was expected to be positively associated with all symptom types examined (based on the literature review above for externalizing symptoms and depressive and generalized anxiety symptoms, and based on the emotion regulation difficulties often experienced by youth with other anxiety subtypes). Based on previous research, sensation-seeking was expected to be positively associated with ADHD symptoms, CD symptoms, and alcohol use, and negatively associated with anxiety symptoms. Also based on previous research lack of perseverance was expected to be positively associated with ADHD symptoms, CD symptoms, alcohol use, and depressive symptoms, and positive urgency was expected to be positively associated with alcohol use. We did not make specific hypotheses about the subtypes of anxiety due to the lack of a priori theoretical reasons to expect different associations.

Methods

Participants

Data for this study were drawn from the Camden Youth Development Study, a study of middle-school students. Youth were in 6th or 7th grade at a charter school at the time of their participation (n=144; 72 males, 72 females). The participants averaged nearly 12 years of age (range=10-14, mean=11.9, SD=.8). According to self-reports, 65% were Hispanic, 30% were African-American, 0.6% were Asian, 5% were Native American, 2% were white, and 6% endorsed being from another racial or ethnic category (youth could endorse more than one category). Among students in these grades at this school, 81% qualified for free lunches and 43% of families received public assistance (not including unemployment or social security benefits).

Eighty-eight percent of parents contacted consented to their child’s participation. All teachers (of students whose parents gave consent for their child’s participation) consented to fill out questionnaires about their students, and 96% of students whose parents gave consent assented. This study was approved by the IRB of Rutgers University.

Measures

Self-report measures

Paper-and-pencil questionnaires were completed by youth in classrooms, with one researcher reading the questionnaire aloud and at least one other researcher available to answer questions and help students.

Impulsivity

The UPPS-R-Child Version (UPPS-R-C) was used to assess dispositions to rash action (UPPS=urgency, planning, perseverance, and sensation seeking). It is a modification of the UPPS-R (developed by Whiteside & Lynam, 2001) that shortens the measure and reduces the reading level to be appropriate for children. The modification, resulting psychometric properties, reliability, and validity (on a sample of youth aged 7-13) are described in Zapolski et al. (2010). Five dimensions are assessed: lack of planning, negative urgency, sensation seeking, lack of perseverance, and positive urgency. Internal consistency reliability, as assessed by Cronbach’s alpha, was generally adequate (lack of planning=.82, negative urgency=.86, sensation seeking=.78, lack of perseverance=.61, positive urgency=.89).

Depressive symptoms

The Mood and Feelings Questionnaire (MFQ; Angold et al., 1995; Daviss et al., 2006; Messer et al., 1995) was used to assess depressive symptoms. This scale correlates highly with other questionnaire measures of depression as well as structured interview-based diagnoses of depression (e.g., Angold et al., 1995, in a sample of 8-to-16-year-olds). It consists of 33 items, each scored on a 3-point scale (0=not true, 1=sometimes true, 2=true). The range of reported scores was 0 to 44, with a mean of 12.8 (SD=11.3).

Anxiety symptoms

The Screen for Child Anxiety and Related Disorders (SCARED; Birmaher et al., 1997; Birmaher et al., 1999) was used to assess anxiety-related symptoms. This questionnaire correlates highly with other questionnaire and structured interview-based assessments of anxiety (Monga et al., 2000; the mean age of this sample was 14, with participants ranging from 9 to 18). It has 41 items, each scored on a 3-point scale (0=not true, 2=very true). Four subscales were used, along with the total score. Details of the scales were as follows: Total score (range=2-68, mean=25.7, SD=12.2); Panic Disorder or Significant Somatic Symptoms (13 items, range=0-24, mean=5.5, SD=4.4); Generalized Anxiety Disorder (9 items, range=0-16, mean=6.3, SD=3.6); Separation Anxiety disorder (8 items, range=0-16, mean=5.6, SD=3.5); Social Anxiety Disorder (7 items, range=0-14, mean=6.3, SD=3.1).

CD symptoms

Self-reports of lifetime CD symptoms were collected using a list of items corresponding to DSM-IV symptoms of CD; the wording of symptoms was modified from the Conduct Disorder Rating Scale (Waschbusch & Elgar, 2007). This measure correlates highly with conduct disorder as assessed by diagnostic interview as well as with observer ratings of antisocial behavior (Waschbusch & Elgar, 2007; this sample was comprised of youth ages 5 through 12). It had 14 items, each scored on a 4-point scale (0=never, 3=5 or more times). The resulting scale had a mean of 4.7 (SD=4.8, range=0-24).

Alcohol use

Youth were asked whether they had ever had a drink of beer, wine, or hard liquor (“not just a sip or taste of someone else’s”). Youth who reported having had at least one of these drinks at least one time were considered to have used alcohol (45%).

Teacher-report measures

Teacher questionnaires were completed by teachers on their own time, within two weeks of the youth questionnaire administrations.

ADHD symptoms

The Child and Adolescent Symptom Inventory-4th edition, Revised (CASI-4R; Gadow & Sprafkin, 1997) was used to collect teachers’ reports of youths’ ADHD symptoms (Sprafkin et al., 1999). This scale has demonstrated reliability and validity in both community and clinical samples (e.g., Gadow & Sprafkin, 1997). Symptoms of hyperactivity and inattention were examined separately. Each scale had 9 items, each scored from 0-3 (0=never to 3=very often). The scales had the following means: hyperactivity M=3.83 (SD=5.90, range 0-27); inattention M=6.85 (SD=6.37; range=0-27). Teacher reports of ADHD were used because children tend to under-report ADHD symptoms (Kashani, Orvaschel, Burk, & Reid, 1985), though teacher reports of ADHD may be less reliable for adolescent students compared to younger children (Molina, Pelham, Blumenthal, & Galiszewski, 1998). There was conceptual overlap between the UPPS-R-C and the ADHD scales, with 3 out of 8 items on the lack of planning scale judged to be similar to ADHD symptoms and 6 out of 8 items on the lack of perseverance scale judged to be similar to ADHD symptoms (primarily the inattention symptom of failing to finish schoolwork or chores).

Statistical Analyses

Three youth were eliminated from these analyses due to concerns about the validity of their answers (they endorsed being only “kind of honest” instead of “totally” or “mostly” honest, or endorsed used of a fake drug). Due to mean differences on some subscales, all analyses adjusted for the effects of age (lack of perseverance was higher among older participants, p<.05), gender (males were higher on sensation-seeking, p<.01), and race (African-American yes/no and Hispanic yes/no; negative and positive urgency were higher among African-Americans (p<.05); lack of perseverance was higher among Hispanics (p<.01)).

Pearson correlations, describing the associations among UPPS-R-C subscale scores, were conducted. Partial correlations among these subscales (adjusting for gender, age, and race) are also reported. Next, partial correlations (adjusting for age, gender, and race) were used to examine associations between UPPS-R-C subscales and psychopathology symptoms. The standard method for computing partial correlations was used; this yields the correlation that is equal to the Pearson correlation between the residuals of the variables of interest, after regression on the control variables (SAS version 9.2 documentation). Finally, to examine which of these dispositions to rash action most strongly predicted symptoms of psychopathology, we entered all 5 dispositions (and age, gender, and race) in multiple regressions predicting symptoms of psychopathology (using logistic regression for the binary outcome of alcohol use yes/no).

In order to account for the fact that multiple statistical tests were conducted and decrease the probability of Type I error, we adopted a p<.01 cutoff for considering a result significant. For the main set of analyses—multiple regressions examining associations between each disposition to rash action and each type of psychopathology symptom, reported in Table 2—50 regressions were conducted. Using this p<.01 cutoff, this corresponded to a 39% chance that (at least) one significant result would occur by chance.

Table 2.

Associations between dispositions to rash action and externalizing and internalizing symptoms, adjusting for the effects of gender, age, and race.

Externalizing Symptoms Internalizing Symptoms

ADHD
Hyperactivity
Symptoms
ADHD
Inattentive
Symptoms
Conduct
Disorder
Symptoms
Alcohol
Use1
Depressive
symptoms
Total
Anxiety
Symptoms
Panic
Symptoms
Generalized
Anxiety
symptoms
Separation
Anxiety
symptoms
Social
Anxiety
Symptoms
Lack of
Planning
.35***
(.19-.50)
.28**
(.11-.43)
.46***
(.31-.59)
.25**
(.08-.41)
.26**
(.09-.42)
.04
(−.14-.22)
.08
(−.10-.25)
.00
(−.18-. 18)
.03
(−.15-.21)
−.15
(−.32-.03)
Negative
Urgency
.30***
(.13-.45)
.29**
(.12-.44)
.55***
(.41-.66)
.35***
(.19-.50)
.37***
(.21-.51)
.28**
(.11-.44)
.32***
(.15-.47)
.23*
(.06-.39)
.18*
(.00-.35)
−.04
(−.22-.14)
Sensation
Seeking
−.01
(−.19-.17)
.04
(−.14-.21)
.26**
(.09-.42)
.28**
(.11-.44)
.03
(−.15-.21)
−.09
(−.26-.09)
−.01
(−.19-.17)
.00
(−.18-. 18)
−.22*
(−.38-−.05)
−.15
(−.32-.03)
Lack of
Perseveranc
.19*
(.02-.35)
.21*
(.04-.37)
.27**
(.10-.43)
.19*
(.01-.36)
.21*
(.04-.37)
.05
(−.13-.23)
.01
(−.17-.19)
−.06
(−.23-.12)
.09
(−.09-.26)
.05
(−.13-.23)
Positive
Urgency
.15
(−.03-.32)
.16
(−.02-.33)
.49***
(.34-.61)
.37***
(.21-.51)
.45***
(.30-.58)
.31***
(.14-.46)
.36***
(.20-.50)
.26**
(.09-.42)
.18
(.00-.35)
−.02
(−.20-.16)
*

p<.05

**

p<.01

***

p<.001.

Values considered significant (p<.01) are highlighted in boldface type.

Correlation coefficients represent partial correlations adjusting for gender, age, and race. All scales are self-reports except the ADHD scales, which were reported by teachers.

1

Because this was a dichotomous variable, a point-biserial correlation was used

For unadjusted correlations, we had at .8 power to detect significant effects at the level of r=.27 and above (had we used a p<.05 cutoff, we would have had similar power at the level of r=.21 and above). For multiple regressions, we had .8 power to detect significant effects for partial correlation levels of .29 and above (had we used a p<.05 cutoff, we would have had similar power at the level of .24 and above).

Results

The data were appropriate for correlation and regression analyses. Most continuous variables were normally distributed (CD and ADHD symptoms were slightly skewed but without outliers; log-transforming these variables had no effect on the pattern of significant results), the dispositions to rash action were associated with symptoms of psychopathology in a linear fashion, internal consistency reliabilities were acceptable, and the homoscedasticity assumption was tested and met.

Associations among different dispositions to rash action are presented in Table 1. Associations ranged from non-significant to quite high (between negative and positive urgency, unadjusted r=.69). The fact that most of the correlations were low to moderate generally supports the discriminant validity of these subscales; however, the high correlation between the two urgency subscales indicates that they may be measuring very similar constructs.

Table 1.

Associations among dispositions to rash action.1

Lack of Planning Negative Urgency Sensation Seeking Lack of Perseverance Positive Urgency
Lack of Planning .56***
(.43-.67)
.11
(−.06-.28)
.45***
(.30-.58)
.38***
(.22-.52)
Negative Urgency .61***
(.49-.71)
.22**
(.05-.38)
.10
(−.07-.27)
.69***
(.59-.77)
Sensation Seeking .17
(−.01-.34)
.26**
(.09-.42)
−.14
(−.30-.03)
.32***
(.16-.47)
Lack of Perseverance .46***
(.31-.59)
.16
(−.02-.33)
−.06
(−.23-.12)
.07
(−.10-.24)
Positive Urgency .39***
(.23-.53)
.67***
(.56-.76)
.37***
(.21-.51)
.15
(−.03-.32)
*

p<.05

**

p<.01

***

p<.001.

Values considered significant (p<.01) are highlighted in boldface type.

1

Pearson correlation coefficients are reported. Above the diagonal, non-adjusted coefficients are reported; below the diagonal, partial correlations adjusting for gender, age, and race are presented. All scales are self-reports.

Associations between dispositions to rash action and externalizing and internalizing symptoms are presented in Table 2. Lack of planning was positively associated with all externalizing symptoms (both ADHD symptom scales, CD symptoms, and alcohol use) and depressive symptoms; lack of perseverance was positively associated with CD symptoms only. Negative urgency was positively associated with all symptom types except certain subtypes of anxiety, while positive urgency demonstrated a similar pattern of positive associations but was not associated with ADHD symptoms. Sensation-seeking was positively associated with CD symptoms and alcohol use.

For the most part, associations between each disposition to rash action and each domain of psychopathology had overlapping confidence intervals, indicating similar associations. However, there were some that differed, most of which involved sensation seeking being relatively weakly associated with psychopathology and urgency being particularly strongly associated with psychopathology. Specifically, (1) depressive and panic symptoms were more strongly positively associated with positive urgency than sensation seeking; (2) total and separation anxiety were both more strongly positively associated with negative and positive urgency than sensation seeking; (3) panic symptoms were more strongly positively associated with positive urgency than lack of perseverance; and (4) the hyperactivity symptoms of ADHD were positively associated with lack of planning more than sensation seeking.

The results of regression analyses simultaneously predicting psychopathology symptoms from all 5 dispositions to rash action (Table 3) indicated that after adjusting for all other dispositions to rash action, negative urgency was positively associated with CD; positive urgency was positively associated with depressive and panic symptoms; and sensation-seeking was negatively associated with separation anxiety.

Table 3.

Results of multiple regression analyses simultaneously examining associations between all dispositions to rash action and internalizing and externalizing symptoms.1

Externalizing Symptoms Internalizing Symptoms

ADHD
Hyperactivity
Symptoms
ADHD
Inattentive
Symptoms
Conduct
Disorder
Symptoms
Alcohol
Use2
Depressive
symptoms
Total
Anxiety
Symptoms
Panic
Symptoms
Generalized
Anxiety
symptoms
Separation
Anxiety
Symptoms
Social
Anxiety
symptoms
Lack of
Planning
.24 .09 .11 1.16
(.39-3.43)
−.02 −.22* −.16 −.20 −.17 −.29*
Negative
Urgency
.23 .28* .33** .48
(.18-1.33)
.16 .28* .25 .25 .23 .13
Sensation
Seeking
−.07 −.01 .11 .46*
(.24-.90)
−.12 −.21* −.16 −.12 −.29** −.14
Lack of
Perseverance
.06 .14 .15 .38
(.11-1.30
.12 .05 −.02 −.05 .07 .15
Positive
Urgency
−.08 −.07 .17 .60
(.26-1.40)
.37** .28* .31** .24* .18 .06
*

p<.05

**

p<.01

***

p<.001.

Values considered significant (p<.01) are highlighted in boldface type.

1

Values presented are standardized parameter estimates from regression equations predicting internalizing and externalizing symptoms (dependent variables) from all impulsivity dimensions, age, gender, and ethnicity (simultaneously entered). All scales are self-reports except the ADHD scales, which were reported by teachers.

2

Because this was a dichotomous outcome variable, a logistic regression was used for this analysis and odds ratios (with 95% confidence intervals) are presented.

Discussion

These results support the notion that dispositions to rash action are differentially associated with symptoms of psychopathology. The emotion-based dispositions to rash action (negative and positive urgency) were broadly associated with psychopathology: they were positively associated with most symptom subtypes and also were significantly more strongly associated with several symptom subtypes than some other dispositions to rash action. In addition, lack of planning was positively associated with externalizing and depressive symptoms, while lack of perseverance and sensation-seeking were associated in a more limited way with externalizing behavior.

Regression analyses examining the unique predictive power of each disposition to rash action, after adjusting for the effects of the other dispositions, were consistent with these patterns. Negative urgency remained a significant predictor of CD, while positive urgency remained a significant predictor of depressive and panic symptoms. Sensation-seeking was negatively associated with separation anxiety. These results demonstrate the importance of distinguishing among dispositions to rash action, and specifically the importance of studying emotion-based dispositions (negative and positive urgency). Despite the incremental validity of these urgency scales, based on their high correlation (.69) and similar overall pattern of correlations with symptoms of psychopathology they may lack discriminant validity among children (in contrast to among adults; Cyders & Smith, 2008); future research examining this issue would be helpful. In addition, the broad overall associations between the urgency subscales and many different types of symptoms raises the possibility that they are tapping into an emotion-regulation dimension that is common to most types of mental health problems.

These results also demonstrate the importance of distinguishing among different types of internalizing symptoms. Despite the findings of Zapolski et al. (2010) indicating a non-significant association between an overall internalizing scale and these dimensions of rash action, we found specific associations with some internalizing scales. The differing directions of some associations (e.g., sensation-seeking being positively associated with depression but negatively associated with separation anxiety) may result in these effects canceling each other out when broad internalizing scales are used.

Similar to Zapolski et al. (2010), our results supported generally high levels of internal consistency reliability for each disposition to rash action, though the alpha for lack of perseverance was marginal (.61). However, we found a slightly different pattern of intercorrelations among these subscales. The samples differed in their demographic make-ups (83% European-American in Zapolski et al., compared to our 2%) and slightly in age (mean age of 10.5 with a range of 7 to 13 in Zapolski et al., compared to our 11.9 with a range of 10 to 14). Importantly, 29% of the Zapolski et al. sample was recruited from clinical settings; these youth may differ from our entirely community-based sample. Research examining these associations in other samples would be useful, and specifically considering possible effects of race and ethnicity (and perhaps socio-economic status as well) on these associations would be appropriate.

This study has limitations. Self-reports were used for most measures (i.e., all except ADHD symptoms); although these youths’ reports clearly differentiated among different distributions to rash action and symptoms of psychopathology, it is not known how these measures would relate to behavioral measures of impulsivity and/or caretakers’ reports of psychopathology. ADHD symptoms were assessed by teacher report due to youths’ tendency to under-report these symptoms (Kashani et al., 1985), but this may have artificially lowered the apparent association between ADHD symptoms and self-reports of dispositions to rash action (relative to the associations reported for the other domains, in which the symptoms were also self-reported). The correlations found for these other domains likely represent overestimates of true associations due to shared method variance. In addition, teachers’ reports on symptoms of ADHD in adolescents are not always reliable and appear to be less reliable than similar reports on younger children (Molina et al., 1998). Many items on the ADHD scales were similar to items on the lack of planning and lack of perseverance scales. It is conceptually impossible to separate these constructs (i.e., an integral part of ADHD is a difficulty in planning and difficulties persevering in cognitively demanding tasks) and therefore we did not remove these overlapping items, but this may have artificially increased associations between the ADHD scales and lack of planning and lack of perseverance. The correlations between these scales were in the small to moderate range (.19-.35) indicating that these dispositions to rash action can be differentiated from ADHD symptoms, at least when different informants are used. The relatively low level of internal consistency reliability for the lack of perseverance scale (.61) may have impaired our ability to detect associations. In addition, although a strength of this study was that it included participants from ethnic/racial and SES groups that tend to be under-represented in research, the make-up of the sample was not representative of the United States population.

In summary, this study supports the idea that dispositions to rash action, as measured via the self-reports of low-income children, relate differentially to symptoms of psychopathology even at this young age. This is consistent with the possibility that these dispositions may influence the development of symptoms and behaviors; these symptoms and behaviors are ones that, in turn, may predict risk for future dysfunction (e.g., early alcohol use predicts later alcohol dependence). Longitudinal research examining these possibilities would be useful.

Acknowledgments

This research was supported by National Institute on Drug Abuse grant DA-022456. The researchers appreciate the assistance of the school administrators, teachers, and student participants who made this project possible, and the author is grateful to the research assistants who helped with data collection and entry for this project.

References

  1. Anestis MD, Selby EA, Joiner TE. The role of urgency in maladaptive behaviors. Behaviour Research and Therapy. 2007;45:3018–3029. doi: 10.1016/j.brat.2007.08.012. [DOI] [PubMed] [Google Scholar]
  2. Angold A, Costello EJ, Messer SC, Pickles A, Winder F, Silver D. The development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. International Journal of Methods in Psychiatric Research. 1995;5:237–249. [Google Scholar]
  3. Beauchaine TP, Gatzke-Kopp L, Mead HK. Polyvagal theory and developmental psychopathology: Emotion dysregulation and conduct problems from preschool to adolescence. Biological Psychology. 2007;74:174–184. doi: 10.1016/j.biopsycho.2005.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Birmaher B, Khetarpal S, Brent D, Cully M, Balach L, kaufman J, Neer SM. The Screen for Child Anxiety Related Emotional Disorders (SCARED): Scale construction and psychometric characteristics. Journal of the American Academy of Child and Adolescent Psychiatry. 1997;36:545–553. doi: 10.1097/00004583-199704000-00018. [DOI] [PubMed] [Google Scholar]
  5. Birmaher B, Brent DA, Chiappetta L, Bridge J, Monga S, Baugher M. Psychometric properties of the Screen for Child Anxiety Related Emotional Disorders (SCARED): A replication study. Journal of the American Academy of Child and Adolescent Psychiatry. 1999;38:1230–1236. doi: 10.1097/00004583-199910000-00011. [DOI] [PubMed] [Google Scholar]
  6. Cloninger CR, Przybeck TR, Svrakic DM. The Tridimensional Personality Questionnaire: US Normative data. Psychological Reports. 1991;69:1047–1057. doi: 10.2466/pr0.1991.69.3.1047. [DOI] [PubMed] [Google Scholar]
  7. Cyders MA, Flory K, Rainer S, Smith GT. The role of personality dispositions to risky behavior in predicting first year college drinking. Addiciton. 2009;104:193–202. doi: 10.1111/j.1360-0443.2008.02434.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Cyders MA, Smith GT. Emotion-based dispositions to rash action: Positive and negative urgency. Psychological Bulletin. 2008;134:807–828. doi: 10.1037/a0013341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Daviss WB, Birmaher B, Melhem NA, Axelson DA, Michaels SM, Brent DA. Criterion validity of the Mood and Feelings Questionnaire for depressive episodes in clinic and non-clinic subjects. Journal of Child Psychology and Psychiatry. 2006;47:927–934. doi: 10.1111/j.1469-7610.2006.01646.x. [DOI] [PubMed] [Google Scholar]
  10. Depue RA, Collins PF. Neurobiology of the structure of personality: Dopamine, facilitation of incentive motivation, and extraversion. Behavioral and Brain Sciences. 1999;22:491–569. doi: 10.1017/s0140525x99002046. [DOI] [PubMed] [Google Scholar]
  11. Dick DM, Smith G, Olausson P, Mitchell SH, Leeman RF, O’Malley SS, Sher K. Understanding the construct of impulsivity and its relationship to alcohol use disorders. Addiction Biology. 2010;15:217–226. doi: 10.1111/j.1369-1600.2009.00190.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Eisenberg N, Valiente C, Spinrad TL, Cumberland A, Liew J, Reiser M, Zhous Q, Losoya SH. Longitudinal relations of children’s effortful control, impulsivity, and negative emotionality to their externalizing, internalizing, and co-occurring behavior problems. Developmental Psychology. 2009;45:988–1008. doi: 10.1037/a0016213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Eysenck HJ, Eysenck MW. Personality and Individual Differences: A natural science approach. Plenum Press; New York: 1985. [Google Scholar]
  14. Fischer S, Anderson KG, Smith GT. Coping with distress by eating or drinking: Role of trait urgency and expectancies. Psychology of Addictive Behaviors. 2004;18:269–274. doi: 10.1037/0893-164X.18.3.269. [DOI] [PubMed] [Google Scholar]
  15. Fischer S, Smith GT. Binge eating, problem drinking, and pathological gambling: Linking behavior to shared traits and social learning. Personality and Individual Differences. 2008;44:789–800. [Google Scholar]
  16. Gadow KD, Sprafkin J. Child Symptom Inventory-4 norms manual. Checkmate Plus; Stony Brook, NY: 1997. [Google Scholar]
  17. Gunn RL, Smith GT. Risk factors for elementary school drinking: Pubertal status, personality, and alcohol expectancies concurrently predict fifth grade alcohol consumption. Psychology of Addictive Behaviors. 2010;24:617–627. doi: 10.1037/a0020334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Kashani JH, Orvaschel H, Burk JP, Reid JC. Informant variance: The issue of parent-child disagreement. Journal of the American Academy of Child and Adolescent Psychitry. 1985;24:437–441. doi: 10.1016/s0002-7138(09)60561-6. [DOI] [PubMed] [Google Scholar]
  19. Krueger RF, Hicks BM, Patrick CJ, Carlson SR, Iacono WG, McGue M. Etiologic connections among substance dependence, antisocial behavior, and personality: Modeling the externalizing spectrum. Journal of Abnormal Psychology. 2002;111:411–424. [PubMed] [Google Scholar]
  20. Lahey BB, Rathouz PJ, van Hulle C, Urbano RC, Krueger RF, Applegate B, Garriock HA, Chapman DA, Waldman ID. Testing structural models of DSM-IV symptoms of common forms of child and adolescent psychopathology. Journal of Abnormal Child Psychology. 2008;36:187–206. doi: 10.1007/s10802-007-9169-5. [DOI] [PubMed] [Google Scholar]
  21. Magid V, Colder CR. The UPPS Impulsive Behavior Scale: Factor structure and associations with college drinking. Personality and Individual Differences. 2007;43:1927–1937. [Google Scholar]
  22. Magid V, MacLean MG, Colder CR. Differentiating between sensation seeking and impulsivity through their mediated relations with alcohol use and problems. Addictive Behaviors. 2007;32:2046–2061. doi: 10.1016/j.addbeh.2007.01.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. McRae RR, Costa PT., JR . Personality in Adulthood. Guilford; New York: 1990. [Google Scholar]
  24. Messer SC, Angold A, Costello EJ, Loeber R, Van Kammen W, Stouthamer-Loeber M. Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents: Factor composition and structure across development. International Journal of Methods in Psychiatric Research. 1995;5:251–262. [Google Scholar]
  25. Miller J, Flory K, Lynam D, Leukefeld C. A test of the four-factor model of impulsivity-related traits. Personality and Individual Differences. 2003;34:1403–1418. [Google Scholar]
  26. Molina BSG, Pelham WE, Blumenthal J, Galiszewski E. Agreement among teachers’ behavior ratings of adolescents with a childhood history of attention deficit hyperactivity disorder. Journal of Clinical Child Psychology. 1998;27:330–339. doi: 10.1207/s15374424jccp2703_9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Monga S, Birmaher B, Chiappetta L, Brent D, Kaufman J, Bridge J, Cully M. Screen for child anxiety-related emotional disorders (SCARED): Convergent and divergent validity. Depression and Anxiety. 2000;12:85–91. doi: 10.1002/1520-6394(2000)12:2<85::AID-DA4>3.0.CO;2-2. [DOI] [PubMed] [Google Scholar]
  28. Nigg JT. Temperament and developmental psychopathology. Journal of Child Psychology and Psychiatry. 2006;47:395–422. doi: 10.1111/j.1469-7610.2006.01612.x. [DOI] [PubMed] [Google Scholar]
  29. Owens JS, Goldfine ME, Evangelista NM, Hoza B, Kaiser NM. A critical review of self-perceptions and the positive illusory bias in children with ADHD. Clinical Child and Family Psychology Review. 2007;10:335–35. doi: 10.1007/s10567-007-0027-3. [DOI] [PubMed] [Google Scholar]
  30. Patton JH, Stanford MS. Psychology of impulsivity. In: Grant JE, Potenza MN, editors. The Oxford Handbook of Impulse Control Disorders. Oxford University Press; 2011. [Google Scholar]
  31. Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt Impulsiveness Scale. Journal of Clinical Psychology. 1995;51:768–774. doi: 10.1002/1097-4679(199511)51:6<768::aid-jclp2270510607>3.0.co;2-1. [DOI] [PubMed] [Google Scholar]
  32. Pearson CM, Combs JL, Smith GT. A risk model for disordered eating in late elementary school boys. Psychology of Addictive Behaviors. 2010;24:696–704. doi: 10.1037/a0020358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Putnam SP, Ellis LK, Rothbart MK. The structure of temperament from infancy through adolescence. In: Eliasz A, Anglietner A, editors. Advances in research on temperament. Pabst Science Publishers; Lengerich, Germany: 2001. pp. 164–182. [Google Scholar]
  34. Settles RF, Cyders MA, Smith GT. Longitudinal validation of the acquired preparedness model of drinking risk. Psychology of Addictive Behavior. 2010;24:198–208. doi: 10.1037/a0017631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Settles RE, Fischer S, Cyders MA, Combs JL, Gunn RL, Smith GT. Negative urgency: A personality predictor of externalizing behavior characterized by neuroticism, low conscientiousness, and disagreeableness. Journal of Abnormal Psychology. doi: 10.1037/a0024948. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Sheese BE, Voelker PM, Rothbart MK, Posner MI. Parenting quality interacts with genetic variation in dopamine receptor D4 to influence temperament in early childhood. Development and Psychopathology. 2007;19:1039–1046. doi: 10.1017/S0954579407000521. [DOI] [PubMed] [Google Scholar]
  37. Smith GT, Fischer S, Cyders MA, Annus AM, Spillane NS, McCarthy DM. On the validity and utility of discriminating among impulsivity-like traits. Assessment. 2007;14:155–170. doi: 10.1177/1073191106295527. [DOI] [PubMed] [Google Scholar]
  38. Sprafkin J, Mattison RE, Gadow KD, Schneider J, Lavigne JV. A brief DSM-IV-referenced scale for monitoring behavioral improvement in ADHD and co-occurring symptoms. Journal of Attention Disorders. 2011;15:235–245. doi: 10.1177/1087054709360655. [DOI] [PubMed] [Google Scholar]
  39. Waschbusch DA, Elgar FJ. Development and Validation of the Conduct Disorder Rating Scale. Assessment. 14:65–74. doi: 10.1177/1073191106289908. [DOI] [PubMed] [Google Scholar]
  40. Whiteside SP, Lynam DR. The five factor model and impulsivity: Using a structural model of personality to understand impulsivity. Personality and Individual Differences. 2001;30:669–689. [Google Scholar]
  41. Whiteside SP, Lynam DR. Understanding the role of impulsivity and externalizing psychopathology in alcohol abuse: Application of the UPPS Impulsive Behavior Scale. Experimental and Clinical Psychopharmacology. 2003;11:210–217. doi: 10.1037/1064-1297.11.3.210. [DOI] [PubMed] [Google Scholar]
  42. Zapolski TCB, Cyders MA, Smith GT. Positive urgency predicts illegal drug use and risky sexual behavior. Psychology of Addictive Behaviors. 2009;23:348–354. doi: 10.1037/a0014684. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Zapolski TCB, Stairs AM, Settles RG, Combs JL, Smith GT. The measurement of dispositions to rash action in children. Assessment. 2010;17:116–125. doi: 10.1177/1073191109351372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Zuckerman M. Sensation seeking: Beyond the optimal level of arousal. Erlbaum; Hillsdale, NJ: 1979. [Google Scholar]
  45. Zuckerman M. Biological bases of personality. In: Millon T, Lerner MJ, Weiner IB, editors. Handbook of Psychology: Personality and Social Psychology. Vol. 5. Wiley; 2003. [Google Scholar]

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